Fusion of MRI and PET images using DWT and adaptive histogram equalization

Bhavana, V; Krishnappa, H K

doi:10.1109/iccsp.2016.7754254

Cited by 21 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DWT has been widely used in CT/MRI and MRI/PET medical image fusion [61][62][63][64][65][66][67][68]. However, DWT is known to be sensitive to the translation/shift of input signals, and therefore, translation among signals may exert a negative impact on effectiveness.…”

Section: Wavelet Transformation Based Methodsmentioning

confidence: 99%

“…Simultaneously, PET/MRI in the diagnosis of primary liver cancer can clearly distinguish whether the portal and hepatic vein systems display any important pathological features of tumor thrombus involvement, which can provide a foundation for clinical decisions of subsequent treatment. For the fusion of PET-MRI for clinical applications, the wavelet transformation-based method [66,73,74,130], IHS-PCA [31] and deep learning methods [151,154] are generally used. On the other hand, wavelet transformation-based methods [52,57,168,169] and deep learning [147] are generally applied for the fusion of PET-CT.…”

Section: Pet/ct and Pet/mrimentioning

confidence: 99%

See 1 more Smart Citation

Application of Image Fusion in Diagnosis and Treatment of Liver Cancer

Zhu

2020

Applied Sciences

View full text Add to dashboard Cite

With the accelerated development of medical imaging equipment and techniques, image fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency ablation, especially for liver tumor. Tumor treatment relying on a single medical imaging modality might face challenges, due to the deep positioning of the lesions, operation history and the specific background conditions of the liver disease. Image fusion technology has been employed to address these challenges. Using the image fusion technology, one could obtain real-time anatomical imaging superimposed by functional images showing the same plane to facilitate the diagnosis and treatments of liver tumors. This paper presents a review of the key principles of image fusion technology, its application in tumor treatments, particularly in liver tumors, and concludes with a discussion of the limitations and prospects of the image fusion technology.

show abstract

Section: Wavelet Transformation Based Methodsmentioning

confidence: 99%

Section: Pet/ct and Pet/mrimentioning

confidence: 99%

Application of Image Fusion in Diagnosis and Treatment of Liver Cancer

Zhu

2020

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Arash and Javad [68] first applied adaptive filters to the fusion of MRI-PET images, using spatial and spectral difference criteria to optimize filter coefficients. There are other MRI/PET fusion methods [69][70][71]. MRI/PET images are often involved in the clinical diagnosis of Alzheimer's disease, and the fusion of MRI and PET images is what is needed to meet the diagnosis.…”

Section: The Way Of Multimodal Fusionmentioning

confidence: 99%

A Review of Multimodal Medical Image Fusion Techniques

Huang

Yang

Yin

et al. 2020

Computational and Mathematical Methods in Medicine

121

View full text Add to dashboard Cite

The medical image fusion is the process of coalescing multiple images from multiple imaging modalities to obtain a fused image with a large amount of information for increasing the clinical applicability of medical images. In this paper, we attempt to give an overview of multimodal medical image fusion methods, putting emphasis on the most recent advances in the domain based on (1) the current fusion methods, including based on deep learning, (2) imaging modalities of medical image fusion, and (3) performance analysis of medical image fusion on mainly data set. Finally, the conclusion of this paper is that the current multimodal medical image fusion research results are more significant and the development trend is on the rise but with many challenges in the research field.

show abstract

“…This fusion technique helps to extract efficient features and mutual information from the images. In [26], a discrete cosine transform (DWT) and Adaptive Histogram Equalization based fusion technique is presented for MRI and PET Images to retain efficient color and spectral information in source color images. The Adaptive Histogram Equalization method is utilized to attain less color distortion and high contrast output.…”

Section: Literature Surveymentioning

confidence: 99%

An Efficient Medical Image Fusion Technique based on IT2FLDS

Ramya¹

2019

IJCA

View full text Add to dashboard Cite

Multiple modal medical image fusion is an essential method for medical imaging technologies. In these Multi-modal medical image fusion usually are Positron Emission Tomography(PET)) and Single-photon Emission Computer Tomography(SPECT), Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images are utilized. However, the conventional state-of-art-fusion-techniques consists of less redundant and less comprehensive information. Therefore, here, we present an image fusion technique to control non-linear uncertainties and provide stability based on IT2FLDS for multi-modal medical color images. The core idea is to perform fusion on color source images of either functional or structural type by extracting both large and small structural information which is rarely done in any other conventional state-of-art-techniques. This can be achieved with the help of IT2FLDS. The fuzzy membership functions based image fusion technique helps to combining low and high frequency components of multimodel medical color images. Experimental results proves the superiority of our proposed image fusion model in terms of visual and quantitative analysis like mutual information, standard deviation and Feature Point Similarity Measure.

show abstract

Fusion of MRI and PET images using DWT and adaptive histogram equalization

Cited by 21 publications

References 6 publications

Application of Image Fusion in Diagnosis and Treatment of Liver Cancer

Application of Image Fusion in Diagnosis and Treatment of Liver Cancer

A Review of Multimodal Medical Image Fusion Techniques

An Efficient Medical Image Fusion Technique based on IT2FLDS

Contact Info

Product

Resources

About